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2020 – today
- 2024
[j7]Peng Qin
, Quanyi Hu, Menglin Cui:
Towards machine-readable semantic-based E-business contract representations using Network of Timed Automata (NTA). Future Gener. Comput. Syst. 158: 457-471 (2024)- [c3]Menglin Cui, Xiang Li, Peng Qin:
Explainable Knowledge-Based Learning for Online Medical Question Answering. KSEM (5) 2024: 294-304 - 2022
- [j6]Jiandong Liu, Jianfeng Ren, Zheng Lu, Wentao He, Menglin Cui, Zibo Zhang, Ruibin Bai:
Cross-document attention-based gated fusion network for automated medical licensing exam. Expert Syst. Appl. 205: 117588 (2022) - 2021
- [j5]Xiang Li, Menglin Cui, Jingpeng Li, Ruibin Bai, Zheng Lu, Uwe Aickelin:
A hybrid medical text classification framework: Integrating attentive rule construction and neural network. Neurocomputing 443: 345-355 (2021) - [j4]Yang Zhang, Menglin Cui, Linlin Shen, Zhigang Zeng:
Memristive Quantized Neural Networks: A Novel Approach to Accelerate Deep Learning On-Chip. IEEE Trans. Cybern. 51(4): 1875-1887 (2021) - [j3]Yang Zhang, Menglin Cui, Linlin Shen, Zhigang Zeng:
Memristive Fuzzy Deep Learning Systems. IEEE Trans. Fuzzy Syst. 29(8): 2224-2238 (2021) - 2020
- [c2]Chaofan Tu, Menglin Cui:
Learning Regular Expressions for Interpretable Medical Text Classification Using a Pool-based Simulated Annealing Approach. CEC 2020: 1-7
2010 – 2019
- 2019
- [j2]Menglin Cui, Ruibin Bai, Zheng Lu, Xiang Li, Uwe Aickelin, Peiming Ge:
Regular Expression Based Medical Text Classification Using Constructive Heuristic Approach. IEEE Access 7: 147892-147904 (2019) - [j1]Yang Zhang, Menglin Cui, Yang Liu, Linlin Shen:
Hybrid CMOS-Memristive Convolutional computation for on-chip learning. Neurocomputing 355: 48-56 (2019) - [c1]Menglin Cui, Yang Zhang:
Memristive Synaptic Circuits for Deep Convolutional Neural Networks. ISCAS 2019: 1-5
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